Efficient Forwarding With Power Saving and Load Balancing In Wireless Sensor Networks
Energy efficiency is still a challenging issue in wireless sensor networks (WSNs). Balancing nodeś activities and duty cycling are efficient ways that could enhance WSŃs performances. In this paper the authors introduce a new asynchronous power saving mechanism that provides an adaptive duty cycle a...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Idoudi, Hanen [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2013 |
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| Umfang: |
1 Online-Ressource |
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| Übergeordnetes Werk: |
Enthalten in: International journal of business data communications and networking - Hershey, Pa : IGI Global, 2005, 9(2013), 2, Seite 45-60 |
|---|---|
| Übergeordnetes Werk: |
volume:9 ; year:2013 ; number:2 ; pages:45-60 |
| Links: |
|---|
| DOI / URN: |
10.4018/jbdcn.2013040104 |
|---|
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NLEJ251789764 |
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| 520 | |a Energy efficiency is still a challenging issue in wireless sensor networks (WSNs). Balancing nodeś activities and duty cycling are efficient ways that could enhance WSŃs performances. In this paper the authors introduce a new asynchronous power saving mechanism that provides an adaptive duty cycle and a minimum overhead to achieve load balancing and energy saving. This mechanism relies on two basic functions: an asynchronous duty cycling for activity balancing and a lightweight geographic routing. Extensive simulations showed the effectiveness of the proposed approach in terms of residual energy, energy consumption balancing and packet delivery ratio | ||
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Energy efficiency is still a challenging issue in wireless sensor networks (WSNs). Balancing nodeś activities and duty cycling are efficient ways that could enhance WSŃs performances. In this paper the authors introduce a new asynchronous power saving mechanism that provides an adaptive duty cycle and a minimum overhead to achieve load balancing and energy saving. This mechanism relies on two basic functions: an asynchronous duty cycling for activity balancing and a lightweight geographic routing. Extensive simulations showed the effectiveness of the proposed approach in terms of residual energy, energy consumption balancing and packet delivery ratio |
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Energy efficiency is still a challenging issue in wireless sensor networks (WSNs). Balancing nodeś activities and duty cycling are efficient ways that could enhance WSŃs performances. In this paper the authors introduce a new asynchronous power saving mechanism that provides an adaptive duty cycle and a minimum overhead to achieve load balancing and energy saving. This mechanism relies on two basic functions: an asynchronous duty cycling for activity balancing and a lightweight geographic routing. Extensive simulations showed the effectiveness of the proposed approach in terms of residual energy, energy consumption balancing and packet delivery ratio |
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Energy efficiency is still a challenging issue in wireless sensor networks (WSNs). Balancing nodeś activities and duty cycling are efficient ways that could enhance WSŃs performances. In this paper the authors introduce a new asynchronous power saving mechanism that provides an adaptive duty cycle and a minimum overhead to achieve load balancing and energy saving. This mechanism relies on two basic functions: an asynchronous duty cycling for activity balancing and a lightweight geographic routing. Extensive simulations showed the effectiveness of the proposed approach in terms of residual energy, energy consumption balancing and packet delivery ratio |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ251789764</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20231205143834.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231128s2013 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/jbdcn.2013040104</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ251789764</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(VZGNL)10.4018/jbdcn.2013040104</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Idoudi, Hanen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Efficient Forwarding With Power Saving and Load Balancing In Wireless Sensor Networks</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Energy efficiency is still a challenging issue in wireless sensor networks (WSNs). Balancing nodeś activities and duty cycling are efficient ways that could enhance WSŃs performances. In this paper the authors introduce a new asynchronous power saving mechanism that provides an adaptive duty cycle and a minimum overhead to achieve load balancing and energy saving. This mechanism relies on two basic functions: an asynchronous duty cycling for activity balancing and a lightweight geographic routing. Extensive simulations showed the effectiveness of the proposed approach in terms of residual energy, energy consumption balancing and packet delivery ratio</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Energy Saving</subfield><subfield code="a">Forwarding</subfield><subfield code="a">Geographic Routing</subfield><subfield code="a">MAC Protocols</subfield><subfield code="a">Routing</subfield><subfield code="a">Wireless Sensor Networks</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of business data communications and networking</subfield><subfield code="d">Hershey, Pa : IGI Global, 2005</subfield><subfield code="g">9(2013), 2, Seite 45-60</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ244418691</subfield><subfield code="w">(DE-600)2400953-2</subfield><subfield code="x">1548-064X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:9</subfield><subfield code="g">year:2013</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:45-60</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jbdcn.2013040104</subfield><subfield code="m">X:IGIG</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jbdcn.2013040104&buylink=true</subfield><subfield code="3">Abstract</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-GIS</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">9</subfield><subfield code="j">2013</subfield><subfield code="e">2</subfield><subfield code="h">45-60</subfield></datafield></record></collection>
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